Managing offshore multi-use settings: Use of conceptual mapping to reduce uncertainty of co-locating seaweed aquaculture and wind farms.

Cognitive mapping Delphi Impact assessment Multi-use setting Seaweed aquaculture Wind farms

Journal

Journal of environmental management
ISSN: 1095-8630
Titre abrégé: J Environ Manage
Pays: England
ID NLM: 0401664

Informations de publication

Date de publication:
12 Apr 2024
Historique:
received: 03 07 2023
revised: 07 03 2024
accepted: 17 03 2024
medline: 14 4 2024
pubmed: 14 4 2024
entrez: 13 4 2024
Statut: aheadofprint

Résumé

The offshore Multi-use Setting (MUS) is a concept that aims to co-locate marine industrial activities, including wind farms and aquaculture. MUS is considered an innovative approach to promoting efficiency in space and resource use whilst contributing global policy priorities. However, the impacts of MUS development across social, economic, and environmental domains are uncertain, hindering the commercialisation of the concept. In this study, we initially demonstrate the potential consequences of co-locating seaweed aquaculture and a wind farm as a step towards MUS. Using a hypothetical case study and modified Delphi methodology, 14 subject matter experts predicted potential outcomes across social and environmental objectives. Five Cognitive maps and impact tables of 58 potential consequences were generated based on experts' perspective on co-locating seaweed aquaculture and a wind farm. The findings highlight the potential to exasperate pressures in the area, including those already attributed to wind farm operations, such as species mortality and stakeholder conflict. However, it may also enhance social-ecological conditions, such as resource provisioning and promoting habitat functionality in the region, through the addition of seaweed aquaculture. The cognitive maps demonstrate the complexity of managing MUS implementation, where high degree of variability and uncertainty about the outcomes is present. The findings of this study provide the vital entry point to performing further integrative assessment and modelling approaches, such as probabilistic analysis and simulations, in support of MUS decision-making. The research also strongly recommends alternative strategies in the pursuit of combining seaweed production and wind farms to avoid significant financial (among many other) trade-offs and risks. More broadly, we have found that our approach's ability to visually represent a complex situation while considering multiple objectives could be immensely valuable for other bioeconomy innovations or nature-based solutions. It helps mitigate the potential for expensive investments without a comprehensive evaluation of the associated risks and negative impacts, as necessitated by the principles of sustainability in decision-making.

Identifiants

pubmed: 38614003
pii: S0301-4797(24)00682-0
doi: 10.1016/j.jenvman.2024.120696
pii:
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

120696

Informations de copyright

Copyright © 2024. Published by Elsevier Ltd.

Déclaration de conflit d'intérêts

Declaration of competing interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.

Auteurs

Ryan O'Shea (R)

Department of Chemical Engineering, Imperial College London, South Kensington, London, SW7 2AZ, United Kingdom; Centre for Environmental Policy, Imperial College London, South Kensington, London, SW7 2AZ, United Kingdom. Electronic address: ryan.oshea18@imperial.ac.uk.

Elisa Capuzzo (E)

Centre for Environment, Fisheries and Aquaculture Science (CEFAS), Pakefield Rd, Lowesoft, NR 33 0HT, United Kingdom.

Victoria Hemming (V)

Department of Forest and Conservation Sciences, University of British Columbia, Vancouver, BC, V6T 1Z4, Canada.

Gretchen Grebe (G)

Marine Biological Laboratory, University of Chicago, 7 Mbl St, Woods Hole, MA, 02543, USA.

Rick Stafford (R)

Department of Life and Environmental Sciences, University of Bournemouth, Fern Barrow, Poole, BH12 5BB, United Kingdom.

Sander W K van den Burg (SWK)

Wageningen Economic Research, Wageningen University and Research, Droevendaalsesteeg 4, 6708, PB Wageningen, Netherlands.

Daniel Wood (D)

Centre for Environment, Fisheries and Aquaculture Science (CEFAS), Pakefield Rd, Lowesoft, NR 33 0HT, United Kingdom.

Gordon Watson (G)

School of Biological Sciences, University of Portsmouth, Winston Churchill Ave, Southsea, Portsmouth, PO1 2UP, United Kingdom.

Victoria Wells (V)

School for Business and Society, University of York, Church Lane Building, York Science Park, Heslington, York, YO10 5Z, United Kingdom.

Teresa Johnson (T)

School of Marine Science, University of Maine, 200 Libby Hall, Orono, ME 04469, USA.

Stefan Erbs (S)

UiO:Energy and Environment, University of Oslo, Gaustadalléen 21, 0349 Oslo, Norway.

Jaap W van Hal (J)

Netherlands Organisation for Applied Scientific Research (TNO), Westerduinweg 3, 1755 LE Petten, The Netherlands.

Bas Binnerts (B)

Netherlands Organisation for Applied Scientific Research (TNO), Westerduinweg 3, 1755 LE Petten, The Netherlands.

Alexandra M Collins (AM)

Centre for Environmental Policy, Imperial College London, South Kensington, London, SW7 2AZ, United Kingdom.

Caroline Howe (C)

Centre for Environmental Policy, Imperial College London, South Kensington, London, SW7 2AZ, United Kingdom.

Classifications MeSH